forked from cmo/triple-tools
31 lines
955 B
Text
31 lines
955 B
Text
# Qleverfile for Olympics, use with https://github.com/ad-freiburg/qlever-control
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#
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# qlever get-data # downloads .zip file of size 13 MB, uncompressed to 323 MB
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# qlever index # takes ~10 seconds and ~1 GB RAM (on an AMD Ryzen 9 5900X)
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# qlever start # starts the server (instant)
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[data]
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NAME = triple_tools_example
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BASE_URL = https://example.com/triple-tools-example
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GET_DATA_CMD = echo done
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DESCRIPTION = Demo for INM7-retreat
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TEXT_DESCRIPTION = All literals, search with FILTER CONTAINS(?var, "...")
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[index]
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INPUT_FILES = knowledgebase.nt
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CAT_INPUT_FILES = cat ${INPUT_FILES}
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SETTINGS_JSON = { "ascii-prefixes-only": false, "num-triples-per-batch": 100000 }
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[server]
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PORT = 7019
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ACCESS_TOKEN = token_1
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MEMORY_FOR_QUERIES = 5G
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CACHE_MAX_SIZE = 2G
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TIMEOUT = 30s
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[runtime]
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SYSTEM = docker
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IMAGE = docker.io/adfreiburg/qlever:latest
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[ui]
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UI_CONFIG = demo-rse-group
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